aviolante / sas-python-workLinks
☆74Updated 4 years ago
Alternatives and similar repositories for sas-python-work
Users that are interested in sas-python-work are comparing it to the libraries listed below
Sorting:
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- ☆180Updated last month
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- python, scala, and pyspark code for few dimensional reduction algorithms☆62Updated 7 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- ☆62Updated 6 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Implementation of SOM and GSOM☆73Updated 7 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- ☆62Updated 4 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Building Decision Trees From Scratch In Python☆67Updated 5 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- References to the Medium articles☆86Updated 2 years ago
- Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…☆30Updated 5 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- XGBoost Medium article code☆33Updated 5 years ago
- Applied Machine Learning with Python☆80Updated last year
- ☆136Updated 6 years ago
- Machine learning, Deep Learning, CNN with PyTorch☆80Updated 5 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron☆27Updated 4 years ago
- Datasets for my machine learning video tutorials.☆28Updated 6 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago